/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements.  See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License.  You may obtain a copy of the License at
*
*    http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

package ai.h2o.sparkling.ml.models

import ai.h2o.sparkling.ml.params.H2OMOJOAlgoSharedParams

case class H2OMOJOSettings(
                            predictionCol: String = "prediction",
                            detailedPredictionCol: String = "detailed_prediction",
                            withDetailedPredictionCol: Boolean = false,
                            convertUnknownCategoricalLevelsToNa: Boolean = false,
                            convertInvalidNumbersToNa: Boolean = false,
                            namedMojoOutputColumns: Boolean = true
                          )

object H2OMOJOSettings {
  def default = H2OMOJOSettings()

  def createFromModelParams(params: H2OMOJOAlgoSharedParams): H2OMOJOSettings = {
    H2OMOJOSettings(
      predictionCol = params.getPredictionCol(),
      detailedPredictionCol = params.getDetailedPredictionCol(),
      withDetailedPredictionCol = params.getWithDetailedPredictionCol(),
      convertUnknownCategoricalLevelsToNa = params.getConvertUnknownCategoricalLevelsToNa(),
      convertInvalidNumbersToNa = params.getConvertInvalidNumbersToNa()
    )
  }
}
